影响力指数

75.84/100

前 1.8%

全站排名 #1,149

发表论文19 篇

平均评分5.4

年均产出6.3 篇/年

Guansong Pang

Assistant Professor@Singapore Management University·新加坡·OpenReview

研究方向

anomaly detection · out-of-distribution detection · open-set recognition · continual learning · graph representation learning

5.5

TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection

ICLR 2026Rejected

三作

4.7

Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection

ICLR 2026Rejected

三作

4.0

Identifying Good and Bad Neurons for Task-Level Controllable LLMs

ICLR 2026Withdrawn

二作

3.5

Refining Bias and Reward in LLM Recommender Agents through Meta-Controlled Tool Invocation

ICLR 2026Rejected

3.5

Combating Dual Noise Effect in Spatial-temporal Forecasting via Information Bottleneck Principle

ICLR 2025Rejected

二作

5.0

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection

ICLR 2025Rejected

通讯

4.5

Out-of-Distribution Detection in Class Incremental Learning

ICLR 2025Withdrawn

二作

3.8

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

合作者 (20)

Guansong Pang

TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection

Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection

Identifying Good and Bad Neurons for Task-Level Controllable LLMs

Refining Bias and Reward in LLM Recommender Agents through Meta-Controlled Tool Invocation

Normality Calibration in Semi-supervised Graph Anomaly Detection

SEMPO: Lightweight Foundation Models for Time Series Forecasting

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

Robust Hallucination Detection in LLMs via Adaptive Token Selection

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting

Open-Set Graph Anomaly Detection via Normal Structure Regularisation

Combating Dual Noise Effect in Spatial-temporal Forecasting via Information Bottleneck Principle

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection

Out-of-Distribution Detection in Class Incremental Learning

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts